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Comparison of supervised classifiers in discrimination coffee areas filds in Ca...

Sarmiento, Christiany Mattioli; Ramirez, Gláucia Miranda; Coltri, Priscila Pereira; Silva, Luis Felipe Lima e; Nassur, Otávio Augusto Carvalho

The use of remote sensing techniques represents a significant advance for the coffee crop data, mainly to complement the currently techniques that have been used. In this context, this study aimed to map coffee areas in high resolution images using object-oriented images analyses methods, with k nearest neighbor (KNN) and support vector machine (SVM) algorithm, and pixel-by-pixel methods, using maximum likeliho...

Data: 2014   |   Origem: Oasisbr

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